The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew.

In this challenge, we ask you to apply the tools of statistical learning to predict which passengers survived the tragedy.

See Kaggle competition “Titanic: Machine Learning from Disaster”.

For each passenger in the test set, you must predict whether or not they survived the sinking ( 0 for deceased, 1 for survived ). Your score is the percentage of passengers you correctly predict.

During the competition, the leaderboard displays your partial score, which is the % of correct classifications for 200 (random) passengers of the test set.
At the end of the contest, the leaderboard will display the final score, which is the % of correct classifications for the remaining 218 passengers of the test set. The final score will determine the final winner. This method prevents users from overfitting to the leaderboard.